Nezda Global
As a Senior Data Engineer , you'll work closely with Data Engineering, Product, and Technology teams to build high-performance data solutions. You'll design scalable data pipelines, develop robust data models, improve engineering standards, and provide technical leadership while contributing to the continuous evolution of the organization's data platform. Key Responsibilities Design, develop, and maintain scalable ETL/data pipelines. Build and optimize data models for analytics and reporting. Ensure orchestration pipelines are reliable, scalable, and efficient. Develop workflows using Apache Airflow and DBT . Build and maintain real-time streaming pipelines using technologies such as Kafka , Pub/Sub , and PySpark/Dataflow . Collaborate with engineering, product, and business stakeholders to deliver high-quality data products. Follow engineering best practices including coding standards, DevOps, documentation, and metadata management. Evaluate architectural and data modelling approaches and recommend optimal solutions. Perform development, testing, documentation, and continuous improvement of data solutions. Mentor team members and promote engineering best practices. Must-Have Qualifications Strong proficiency in Python . 5-7 years of hands-on experience in data engineering Strong SQL skills. Experience designing and building ETL/data pipelines . Experience managing data infrastructure. Experience with Apache Airflow . Experience with DBT . Experience building real-time streaming pipelines using technologies such as Kafka , Pub/Sub , or PySpark/Dataflow . Solid understanding of OLTP concepts and normalized database design. Solid understanding of OLAP concepts and data modelling. Experience with cloud migration strategies and best practices. Ability to evaluate architecture and data modelling trade-offs. Good-to-Have Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, Data Science, Information Technology, or a related field. Experience with Google Cloud Platform (GCP) , AWS , or Microsoft Azure . Experience with CI/CD solutions such as Cloud Build or Concourse . Experience working with Google Analytics, Adobe Analytics, Snowplow Analytics, or subscriber data. Experience using AI tools to improve engineering productivity. Why Join Us Work on large-scale data platforms processing hundreds of millions of events daily. Build modern cloud-based data products using industry-leading technologies. Collaborate with cross-functional engineering and product teams. Influence architecture, engineering standards, and technical direction while mentoring others.
Nezda Global
